Business Functions
As the leading bank in Asia, Transformation & Data (T&D) supports our management on the implementation of the Group’s agenda. Data Chapter, organized under T&D, is committed to create synergies between the data analytics functions across the bank, establish centres of excellence, shared services, and reusable data assets, as well as enhance career opportunities and the sense of community for data professionals.
Responsibilities
Manage complex, high-impact data science and AI initiatives end to end, from problem framing and requirements discovery through data exploration, model development, deployment, monitoring, and continuous improvement.
Partner with business, technology and governance stakeholders to deliver AI solutions to agreed scope, budget, timelines, and measurable business outcomes.
Define and implement robust model governance - evaluation, monitoring, and responsible AI controls - for production-grade AI and machine learning solutions.
Promote strong standards for data science and AI project development and a spirit of continuous learning in the team.
Requirements
Advanced degree in a quantitative field, such as Computer Science, Statistics, or Applied Mathematics.
3 to 8 years of experience in data science, machine learning, and AI, with a proven track record of developing enterprise-scale, production-grade data science / machine learning / AI initiatives as a key individual contributor.
Proficient in Python, SQL, PySpark, and data science frameworks such as Pandas and scikit-learn.
Proficient in data visualization tools such as Matplotlib and Plotly, with the ability to derive actionable insights from data.
Hands-on experience with LLMs, prompt engineering, RAG, agentic AI frameworks such as LangChain or LangGraph, and evaluation approaches.
Experience developing agentic applications on platforms such as Dify or Google Vertex AI.
Experience in creating and using synthetic data for development and validation purposes.
Strong engineering practices, including version control with Git, writing clean and maintainable code, performing code review.
Good documentation habits, with an openness to learning and sharing.
Strong understanding of agile software development methodologies, with experience using tools like Jira and Confluence.
Strong ability to understand a business process and deliver value through a bespoke AI / ML solution.
Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business-friendly insights.
Good to have
Experience with the GCP ecosystem of tools, e.g., BigQuery for querying and manipulating datasets, Vertex AI for ML and agentic AI workflows.
Hands-on experience in deploying and monitoring machine learning and AI models in production environments.
Experience with CI/CD, and containerisation practices.
Experience working in financial / regulated industries, with an appreciation for model risk governance and responsible AI principles.
Apply Now
We offer a competitive salary and benefits package commensurate with your experience and the professional advantages of a dynamic environment.
We regret that only shortlisted candidates will be notified.
Location:
One Island EastJob:
AnalyticsSchedule:
RegularEmployee Status:
Full timeSkills Required
- Advanced degree in Computer Science, Statistics, Applied Mathematics, or other quantitative field
- 3 to 8 years experience in data science, machine learning, and AI with enterprise-scale, production-grade initiatives
- Proficient in Python
- Proficient in SQL
- Proficient in PySpark
- Proficient with Pandas and scikit-learn
- Proficient with data visualization tools such as Matplotlib and Plotly
- Hands-on experience with LLMs, prompt engineering, RAG, and agentic AI frameworks
- Experience with agentic application platforms such as Dify or Google Vertex AI
- Experience creating and using synthetic data for development and validation
- Strong engineering practices including version control with Git, clean maintainable code, and code review
- Good documentation habits and willingness to learn and share
- Strong understanding of agile software development methodologies and experience using Jira and Confluence
- Ability to understand business processes and deliver value through bespoke AI/ML solutions
- Excellent communication and stakeholder management skills
- Experience with GCP tools such as BigQuery and Vertex AI
- Hands-on experience deploying and monitoring ML/AI models in production
- Experience with CI/CD and containerisation practices
- Experience working in financial or regulated industries with model risk governance and responsible AI principles
What We Do
DBS Bank is a leading financial services group in Asia, headquartered in Singapore. It provides a full range of consumer, SME, and corporate banking services. The bank is recognized for its digital innovation, having been named 'World's Best Digital Bank' and 'World's Best Bank' by various publications. It also operates the DBS Foundation, which supports social enterprises and community initiatives, reflecting its commitment to creating impact beyond traditional banking.
